| module Isin | |
| open System.Text.RegularExpressions | |
| // See: http://en.wikipedia.org/wiki/International_Securities_Identification_Number | |
| [<Literal>] | |
| let private AsciiZero = 48 | |
| [<Literal>] | |
| let private AsciiNine = 57 |
| [Unit] | |
| Description=Redis persistent key-value storage | |
| After=network.target | |
| [Service] | |
| Type=notify | |
| ExecStart=/usr/bin/redis-server /etc/redis.conf --supervised systemd --daemonize no | |
| ExecStop=/usr/bin/redis-cli -p 6379 shutdown | |
| ExecReload=/bin/kill -USR2 $MAINPID | |
| Restart=always |
Fabric is the "modern" Minecraft modding software that is very modular.
We use Fabric in this guide so install it by going to https://fabricmc.net/use/ Download the .jar or .exe and run it.
Below is a list of performance and utility mods to make your Minecraft experience better and most importantly smooth.
The list is in order of most importance and they all work together including what they do with why to use them.
| // suma a 2 numere in fisier | |
| #include <iostream> | |
| #include <fstream> | |
| using namespace std; | |
| int main() | |
| { | |
| int a, b; | |
| // deschide fisierul pentru scriere: |
This can be used to daemonize anything that would normally run in the foreground; I picked Redis. Put this in /etc/systemd/system/redis.service:
[Unit]
Description=Redis
After=syslog.target
[Service]
ExecStart=/usr/local/bin/redis-server /etc/redis/redis.conf
RestartSec=5s
| mv -v ~/Library/Application\ Support/.lpxuserdata ~/.Trash |
| i386 : iPhone Simulator | |
| x86_64 : iPhone Simulator | |
| arm64 : iPhone Simulator | |
| iPhone1,1 : iPhone | |
| iPhone1,2 : iPhone 3G | |
| iPhone2,1 : iPhone 3GS | |
| iPhone3,1 : iPhone 4 | |
| iPhone3,2 : iPhone 4 GSM Rev A | |
| iPhone3,3 : iPhone 4 CDMA | |
| iPhone4,1 : iPhone 4S |
| def check_missing_data(df): | |
| # Check for missing values | |
| proportion_null_rows = 100*(round(df.isnull().any(axis=1).sum()/df.any(axis=1).count(),2)) | |
| if proportion_null_rows <= 5: | |
| print(f"There are {df.isnull().any(axis=1).sum()} rows with a null value. All of them are erased!") | |
| df.dropna() | |
| else: | |
| print("Too many null values, we need to check columns by columns further.") | |
| if df.isnull().sum().sum() > 0: | |
| print("\nProportion of missing values by column") |